摘要
Abstract
In order to guide the agricultural water saving in arid and semi arid regions,the paper selects 14 cities' data from 2004 to 2013 in Xinjiang,taking the total factor water efficiency measurement,using the input-oriented super-efficiency DEA model under the CRS condition,the selected cities and regional agricultural water utility efficiency is measured in Xinjiang.Meanwhile,the paper makes dynamic evolution analysis on basis of α-convergence and kernel-density estimation,taking the Tobit model to analyze the factors affecting agricultural water utility efficiency in Xinjiang.The results show that at the regi-onal level,although the difference of agricultural water saving technology,consciousness and management level between Northern Region and All Region has been reduces,it still faces the problem of regional uncoordinated development.The agricultural water utility efficiency in Southern Region is deteriorating and agricultural water situation is severe,however,the city agricultural water efficiency gap is small and the development tends to be in balance and coordination.There is obvious characteristics of "club convergence" to agricultural water use efficiency in Eastern Region and the regional water use efficiency is increasing.Among many influencing factors,the average annual sunshine time,farmland water conservancy construction,agricultural production distribution and irrigation fees have a two-way impacts for agricultural water utility efficiency promotion.Economic level has significant positive effect.The average annual precipitation,water resource endowment level and industrial structure have significant negative effects.The study analyzes the efficiency of agricultural water from multiple dimensions of dynamic evolution process,and for arid and semi arid areas,the agricultural water-saving work has a certain guiding role.关键词
农田水利/农业用水效率/新疆/全要素/Tobit模型/动态演进/影响因素Key words
farmland irrigation/agricultural water utility efficiency/Xinjiang/total factor/Tobit model/dynamic evolution/influencing factors分类
管理科学
